react-hook-form VS joi

React Hook Form is one of the most popular libraries for building forms in React apps with over 39k stars on GitHub. The library has no external dependencies according to Bundle Phobia.

Link: https://react-hook-form.com/

The idea here is to first define an array of field names for each provider. We'll also need a map with more detailed information about each field. This map will contain the field name, label, type, and validation options. We'll use this map to render the form fields and also to validate the form. Finally, we'll have a Form component that will render the form fields based on their type and handle the form submission. We'll use React Hook Form to handle the form state and validation.

Now we need to install React Hook Form because that is the package we are going to use for building our form. We also need to install the package for SendGrid. cd into the sendgrid-contact-form folder and then run this command to install the packages:

Imagine someone unknowingly unleashing heavy computation on a component without useMemo. That computation will run on every component re-render. Not only that, The dependency array in your hooks (useEffect, useMemo, useCallback) are also checked in each re-render. It's like a double whammy for performance pitfalls! I know that you can avoid this by some technique like what react-hook-form done, but remember thats an extra complexity.

But now, all those difficulties are gone since I found React Hook Form and zod.

This will greatly simplify the handling of AJAX forms in React - like for instance for a search form. But again, this may not be enough to get rid of third-party libraries like React Hook Form, which does much more than just handle form submission (validation, side effects, etc).

We could consider to do all these steps specifically for each data-set; of course this isn't an efficient approach due to the amount of repeated code involved. So what if we could abstract all this in a single management? A way to do this could be using a simple configuration in which we specify each aspect for each input (its type, validations required and so on). And we can do this thanks to the extreme flexibility provided by React Hook Form.

React Hook Form Documentation

Code in Docusaurus This module validates and processes frontmatter objects by using Joi library for the data validation.

Once you've leaped into thinking as a serverless problem solver, it makes a lot of sense to standardize some tooling and frameworks. The old adage right tool for the job is what I like about this layer of the pyramid. For instance, if a problem requires flexibility in data and your team enjoys validating schema with Joi then you might use TypeScript with a Node.js runtime with your lambdas. If you prefer the developer experience and small footprint and simplicity of Go then use the Go 1.x runtime. You might find you don't need "compute" at all, so using intrinsic functions in State Machines might be plenty.

Validation: request data validation using Joi

I'm using Joi on my server to validate form input, do you think I still need honeypot fields? It sounds like it might be worth looking into IP rate limiting as well, I don't think Joi can help with that.

What does your library provide that others don't? For example: https://github.com/colinhacks/zodhttps://github.com/hapijs/joihttps://github.com/jquense/yuphttps://github.com/gcanti/io-tshttps://github.com/pelotom/runtypeshttps://github.com/sindresorhus/ow

Yup's API is heavily inspired by Joi, but leaner and built with client-side validation as its primary use-case. Yup separates the parsing and validating functions into separate steps. cast() transforms data while validate checks that the input is the correct shape. Each can be performed together (such as HTML form validation) or seperately (such as deserializing trusted data from APIs).

Yup is a Javascript object schema validator: it lets you define a schema to describe how a valid object should look like, and allows you to validate an object using this schema. If you know Joi, Yup is heavily inspired by it, except it relies on client-side validation as its primary use-case.

Again a widely used open source validation library like Joi can help you easily create schemas and transform the data into safe objects.